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MED - SOFTWARE DEVELOPMENT ENGINEER - 432256
El Qahera El Gididaa, EGYFRONTEND DEVELOPMENT ENGINEER - 431126
El Qahera El Gididaa, EGYSOFTWARE DEVELOPMENT ENGINEER - MED - 429925
El Qahera El Gididaa, EGYUSA EHS PROFESSIONAL - 434741
Orlando, FLSENIOR ETL PRODUCT OWNER - 429923
El Qahera El Gididaa, EGYETL SOFTWARE ENGINEER - 429912
El Qahera El Gididaa, EGYSENIOR ETL SOFTWARE ENGINEER - 429916
El Qahera El Gididaa, EGYAPPLICATION SUPPORT ENGINEER - 428321
El Qahera El Gididaa, EGYLICENSE SUPPORT ENGINEER - 428503
El Qahera El Gididaa, EGYSOFTWARE QA ENGINEER - 428538
El Qahera El Gididaa, EGYPRODUCT ENGINEER - 428533
El Qahera El Gididaa, EGYBUILD AND INFRASTRUCTURE ENGINEER - 427216
El Qahera El Gididaa, EGY
ML OPS/DATA OPS ENGINEER - 425387
El Qahera El Gididaa, EGYSiemens Digital Industries Software is driving transformation to enable a digital enterprise where engineering, manufacturing and electronics design meet tomorrow. Our solutions help companies of all sizes create and leverage digital twins that provide organizations with new insights, opportunities and levels of automation to drive innovation.
Siemens Digital Industries Software is a global technology powerhouse. With some of the best-known brands in the world, Siemens has stood for engineering excellence, innovation, quality, and reliability for more than 175 years.
We are looking for a ML Ops/Data Ops Engineer to join our team based in Cairo, Egypt.
Responsibilities:
- Design and implement scalable data pipelines to support MLOps, focusing on data ingestion, processing, and storage.
- Design, build, deploy, and monitor model and data pipelines.
Requirements:
- B.Sc. in Computer Science, Computer Engineering, or Electronics & Communications.
- Experience with CI/CD pipelines.
- Proficient in programming languages such as Python and SQL.
- Strong understanding of data modeling, data warehousing, and ETL/ELT processes.
- Familiarity with frameworks like Airflow, Pandas, AWS Glue, Google Cloud Dataflow, dbt, Airbyte, etc.
- Experience with both Relational and NoSQL databases.
- Proficient in working with Docker containers.
- Experience with Kubernetes and Prometheus.
- Preferred experience in building and maintaining data pipelines and infrastructure.
- Knowledge of distributed systems and cloud computing platforms is advantageous.
- Experience with cloud technologies is a plus.
- Data engineering experience is a plus.
- Excellent communication skills.
We’re Siemens. A collection of over 377,000 minds building the future, one day at a time in over 200 countries. We're dedicated to equality, and we welcome applications that reflect the diversity of the communities we work in. All employment decisions at Siemens are based on qualifications, merit and business need. Bring your curiosity and creativity and help us shape tomorrow!
We offer a comprehensive reward package which includes a competitive basic salary, bonus scheme and generous holiday allowance.
Siemens is an equal opportunities employer and do not discriminate unlawfully on any grounds. We are committed to providing access and equal opportunity.
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